Abstract Recent large wildfires have caused serious environmental and social impacts in different areas of the world, such as Portugal, Greece Australia. Sociodemographic changes rural climate change issues create unprecedented challenging circumstances that call for an adjustment fire management strategies planning tools. In this research, we revise procedure to assess wildfire susceptibility ...

The problem of scarcity of labeled pixels, required for segmentation of remotely sensed satellite images in supervised pixel classification framework, is addressed in this article. A support vector machine (SVM) is considered for classifying the pixels into different landcover types. It is initially designed using a small set of labeled points, and subsequently refined by actively querying for ...

In this paper we describe the analysis framework system GEOAIDA with view of an application for a versatile and efficient quality assessment of geodata. GEOAIDA allows to develop image analysis strategies for complex object class definitions being provided by different GIS databases. The image analysis strategy and GIS data model can be expressed in tree-like semantic networks. The multi-hierar...

Most of the current SAR systems aquire fully polarimetric data where the obtained scattering information can be represented by various coherent and incoherent parameters. In previous contributions we reviewed these parameters in terms of their “utility” for landcover classification, here, we investigate their impact on several classification algoritms. Three classifiers: the minimum-distance cl...

Image classification is the important part of remote sensing, image analysis and pattern recognition. Digital Image Classification is the process of sorting all the pixels in an image into a finite number of individual classes. Landuse/Landcover classification of satellite images is an important activity for extracting geospatial information for military & civil purposes like inaccessible areas...

Image retrieval of landscape photographs requires accurate annotation using multi-faceted descriptions relating to the subject and content of the photograph. The subject of such photographs is dominantly the terrain and spatial objects visible from the photographer’s viewpoint. While some spatial objects in the background may be obscured by foreground vegetation, other visible spatial objects b...